






def     snake_case   (UpperCAmelCase__      ,       UpperCAmelCase__      ,       UpperCAmelCase__      ,       UpperCAmelCase__    )			->							str:
  # Return True if there is node that has not iterated.
  UpperCamelCase_:   int        =							[False] * len(_A    )
  UpperCamelCase_:   Optional[Any]        =							[]
  queue.append(_A    )
  UpperCamelCase_:   Dict        =							True

  while queue:
    UpperCamelCase_:   int        =							queue.pop(0    )
    for ind in range(len(graph[u]    )    ):
      if visited[ind] is False and graph[u][ind] > 0:
        queue.append(_A    )
        UpperCamelCase_:   int        =							True
        UpperCamelCase_:   List[str]        =							u

  return visited[t]

def     snake_case   (UpperCAmelCase__      ,       UpperCAmelCase__      ,       UpperCAmelCase__    )			->							Any:
  # This array is filled by BFS and to store path
  UpperCamelCase_:   Any        =							[-1] * (len(_A    ))
  UpperCamelCase_:   Dict        =							0
  while bfs(_A      ,       _A      ,       _A      ,       _A    ):
    UpperCamelCase_:   str        =							float('Inf'    )
    UpperCamelCase_:   str        =							sink

    while s != source:
      # Find the minimum value in select path
      UpperCamelCase_:   List[Any]        =							min(_A      ,       graph[parent[s]][s]    )
      UpperCamelCase_:   Dict        =							parent[s]

    max_flow += path_flow
    UpperCamelCase_:   List[str]        =							sink

    while v != source:
      UpperCamelCase_:   Tuple        =							parent[v]
      graph[u][v] -= path_flow
      graph[v][u] += path_flow
      UpperCamelCase_:   Union[str, Any]        =							parent[v]
  return max_flow


A_						:						Optional[Any]						      =					[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

A_      ,					A_						:						int						      =					0, 5
print(ford_fulkerson(graph, source, sink))



from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available()):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
						from .pipeline_kandinsky import KandinskyPipeline
						from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
						from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
						from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
						from .text_encoder import MultilingualCLIP


